Mathematics & Optimization

Unique sparse decomposition of low rank matrices NeurIPS 2021 Unitary Branching Programs: Learnability and Lower Bounds ICML 2021 United for Change: Deliberative Coalition Formation to Change the Status Quo AAAI 2021 Unlinked Monotone Regression JMLR 2021 Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders ACL 2021 Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport AAAI 2021 Updating the Belief Promotion Operator IJCAI 2021 USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems NeurIPS 2021 Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings EMNLP 2021 UZWORDNET: A Lexical-Semantic Database for the Uzbek Language EACL 2021 Value-at-Risk Optimization with Gaussian Processes ICML 2021 Variance-dependent best arm identification UAI 2021 Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference JMLR 2021 Variance reduction in frequency estimators via control variates method UAI 2021 Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums ICML 2021 Variational Bayesian Optimistic Sampling NeurIPS 2021 Variational Data Assimilation with a Learned Inverse Observation Operator ICML 2021 Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds ACML 2021 Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices NeurIPS 2021 Viewing Graph Solvability via Cycle Consistency ICCV 2021 Vitality Indices are Equivalent to Induced Game-Theoretic Centralities IJCAI 2021 Vocabulary Learning via Optimal Transport for Neural Machine Translation ACL 2021 vqSGD: Vector Quantized Stochastic Gradient Descent AISTATS 2021 Warm Starting CMA-ES for Hyperparameter Optimization AAAI 2021 Wasserstein Barycenter for Multi-Source Domain Adaptation CVPR 2021